
from string import ascii_uppercase

lowerCamelCase_    :			Tuple    =	{char: i for i, char in enumerate(ascii_uppercase)}
lowerCamelCase_    :			List[str]    =	dict(enumerate(ascii_uppercase))







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						str:
				UpperCamelCase_:				int						=    len(lowerCamelCase    )
				UpperCamelCase_:				int						=    0
				while True:
								if x == i:
												UpperCamelCase_:				Any						=    0
								if len(lowerCamelCase    ) == len(lowerCamelCase    ):
												break
								key += key[i]
								i += 1
				return key







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						str:
				UpperCamelCase_:				Tuple						=    """"""
				UpperCamelCase_:				Dict						=    0
				for letter in message:
								if letter == " ":
												cipher_text += " "
								else:
												UpperCamelCase_:				List[str]						=    (dicta[letter] - dicta[key_new[i]]) % 26
												i += 1
												cipher_text += dicta[x]
				return cipher_text







def 							A__       (    lowerCamelCase  ,     lowerCamelCase    )	->						str:
				UpperCamelCase_:				Tuple						=    """"""
				UpperCamelCase_:				Dict						=    0
				for letter in cipher_text:
								if letter == " ":
												or_txt += " "
								else:
												UpperCamelCase_:				Optional[Any]						=    (dicta[letter] + dicta[key_new[i]] + 26) % 26
												i += 1
												or_txt += dicta[x]
				return or_txt







def 							A__       (    )	->						None:
				UpperCamelCase_:				Dict						=    """THE GERMAN ATTACK"""
				UpperCamelCase_:				List[str]						=    """SECRET"""
				UpperCamelCase_:				List[Any]						=    generate_key(lowerCamelCase  ,     lowerCamelCase    )
				UpperCamelCase_:				Union[str, Any]						=    cipher_text(lowerCamelCase  ,     lowerCamelCase    )
				print(F'''Encrypted Text = {s}'''    )
				print(F'''Original Text = {original_text(lowerCamelCase  ,     lowerCamelCase    )}'''    )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()








from ..utils import is_flax_available, is_torch_available


if is_torch_available():
							from .autoencoder_kl import AutoencoderKL
							from .controlnet import ControlNetModel
							from .dual_transformer_ad import DualTransformeraDModel
							from .modeling_utils import ModelMixin
							from .prior_transformer import PriorTransformer
							from .ta_film_transformer import TaFilmDecoder
							from .transformer_ad import TransformeraDModel
							from .unet_ad import UNetaDModel
							from .unet_ad import UNetaDModel
							from .unet_ad_condition import UNetaDConditionModel
							from .unet_ad_condition import UNetaDConditionModel
							from .vq_model import VQModel

if is_flax_available():
							from .controlnet_flax import FlaxControlNetModel
							from .unet_ad_condition_flax import FlaxUNetaDConditionModel
							from .vae_flax import FlaxAutoencoderKL






